{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1119,
     "status": "ok",
     "timestamp": 1597492207899,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "Gfj7R8hRagp0"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "plt.style.use('fivethirtyeight')\n",
    "np.random.seed(100)\n",
    "#import os\n",
    "#file_dir=os.getcwd()#获取当前工作目录路径\n",
    "save_model='bp.h5'\n",
    "window=3#时间窗\n",
    "scale=2000#归一化参数\n",
    "amount_of_features=1#特征数量\n",
    "d=0.05#dropout系数\n",
    "batch_size=16#批训练数量\n",
    "epoch=50\n",
    "#总迭代次数\n",
    "train_file='alic90_131.xls'#file_dir+'\\\\data\\\\alic\\\\alic90_131.xls'#读取训练集地址\n",
    "test_file='alic132_136.xls'#file_dir+'\\\\data\\\\alic\\\\alic132_136.xls'#读取测试集地址\n",
    "save_file='alic_predict_bp.csv'#file_dir+'\\\\data\\\\alic\\\\alic_predict_lstm.csv'#储存预测值地址"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1485,
     "status": "ok",
     "timestamp": 1597492208278,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "T2sPMOekagp3"
   },
   "outputs": [],
   "source": [
    "#读取数据，构造训练集和测试集的函数\n",
    "def read_train(file_name,window,scale):\n",
    "    #读取数据 \n",
    "    data=pd.read_excel(file_name,header=None) \n",
    "    data=data[1]\n",
    "    #构造针对机器学习模型的数据集\n",
    "    window=window#时间窗\n",
    "    data=data.values \n",
    "    dataset=data\n",
    "    for i in range(window):\n",
    "        zero=np.zeros(i+1)\n",
    "        temp=np.append(data[i+1:],zero)\n",
    "        dataset=np.row_stack((dataset,temp))\n",
    "    dataset=pd.DataFrame(dataset).T\n",
    "    dataset=dataset.iloc[:-window]\n",
    "    dataset=dataset/scale#进行伪归一化\n",
    "    #划分特征与标签\n",
    "    x=dataset.iloc[:,:-1]\n",
    "    y=dataset.iloc[:,-1]\n",
    "    return x,y\n",
    "def read_test(file_name,window,scale):\n",
    "    #读取数据 \n",
    "    data=pd.read_excel(file_name,header=None) \n",
    "    data=data.iloc[:,:]\n",
    "    data=data[0]\n",
    "    #构造针对机器学习模型的数据集\n",
    "    window=window#时间窗\n",
    "    data=data.values \n",
    "    dataset=data\n",
    "    for i in range(window):\n",
    "        zero=np.zeros(i+1)\n",
    "        temp=np.append(data[i+1:],zero)\n",
    "        dataset=np.row_stack((dataset,temp))\n",
    "    dataset=pd.DataFrame(dataset).T\n",
    "    dataset=dataset.iloc[:-window]\n",
    "    dataset=dataset/scale#进行伪归一化\n",
    "    #划分特征与标签\n",
    "    x=dataset.iloc[:,:-1]\n",
    "    y=dataset.iloc[:,-1]\n",
    "    return x,y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 89
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1479,
     "status": "ok",
     "timestamp": 1597492208279,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "ZW2lK4NWagp6",
    "outputId": "9137e943-421d-46ef-f6f8-eb60170f1225"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1005, 3)\n",
      "(117, 3)\n",
      "(1005,)\n",
      "(117,)\n"
     ]
    }
   ],
   "source": [
    "#构造训练集测试集\n",
    "X_train,y_train=read_train(train_file,window,scale)\n",
    "X_test, y_test=read_test(test_file,window,scale)\n",
    "X_train,X_test,y_train,y_test=X_train.values,X_test.values,y_train.values,y_test.values\n",
    "print(X_train.shape)#通过输出训练集测试集的大小来判断数据格式正确。\n",
    "print(X_test.shape)\n",
    "print(y_train.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 341
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1471,
     "status": "ok",
     "timestamp": 1597492208279,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "2FgYx0h3agqA",
    "outputId": "f118133c-153e-461b-9da0-5b0d5e2b88ea"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_15\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_43 (Dense)             (None, 8)                 32        \n",
      "_________________________________________________________________\n",
      "activation_29 (Activation)   (None, 8)                 0         \n",
      "_________________________________________________________________\n",
      "dense_44 (Dense)             (None, 4)                 36        \n",
      "_________________________________________________________________\n",
      "activation_30 (Activation)   (None, 4)                 0         \n",
      "_________________________________________________________________\n",
      "dense_45 (Dense)             (None, 1)                 5         \n",
      "=================================================================\n",
      "Total params: 73\n",
      "Trainable params: 73\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "#建立bp模型 训练 \n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Dense, Activation\n",
    "from keras.optimizers import Adam\n",
    "model = Sequential()  #层次模型\n",
    "model.add(Dense(8,input_dim=window)) #输入层，Dense表示BP层\n",
    "model.add(Activation('relu'))  #添加激活函数\n",
    "model.add(Dense(4)) #中间层\n",
    "model.add(Activation('relu'))  #添加激活函数\n",
    "model.add(Dense(1))  #输出层\n",
    "model.compile(loss='mean_squared_error', optimizer='Adam') #编译模型\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 197
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3280,
     "status": "ok",
     "timestamp": 1597492210095,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "8XFQH8pLagqC",
    "outputId": "7b474a1c-2d05-4698-bd64-9a6fd756b1a6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 904 samples, validate on 101 samples\n",
      "Epoch 1/50\n",
      "904/904 [==============================] - 1s 1ms/step - loss: 2.2861 - val_loss: 1.5672\n",
      "Epoch 2/50\n",
      "904/904 [==============================] - 0s 123us/step - loss: 0.9824 - val_loss: 0.5451\n",
      "Epoch 3/50\n",
      "904/904 [==============================] - 0s 129us/step - loss: 0.2794 - val_loss: 0.1024\n",
      "Epoch 4/50\n",
      "904/904 [==============================] - 0s 123us/step - loss: 0.0346 - val_loss: 0.0054\n",
      "Epoch 5/50\n",
      "904/904 [==============================] - 0s 124us/step - loss: 0.0010 - val_loss: 4.2219e-04\n",
      "Epoch 6/50\n",
      "904/904 [==============================] - 0s 126us/step - loss: 6.5629e-05 - val_loss: 3.4488e-04\n",
      "Epoch 7/50\n",
      "904/904 [==============================] - 0s 118us/step - loss: 6.3371e-05 - val_loss: 3.4494e-04\n",
      "Epoch 8/50\n",
      "904/904 [==============================] - 0s 136us/step - loss: 6.3367e-05 - val_loss: 3.4551e-04\n",
      "Epoch 9/50\n",
      "904/904 [==============================] - 0s 133us/step - loss: 6.3363e-05 - val_loss: 3.4635e-04\n",
      "Epoch 10/50\n",
      "904/904 [==============================] - 0s 136us/step - loss: 6.3292e-05 - val_loss: 3.4611e-04\n",
      "Epoch 11/50\n",
      "904/904 [==============================] - 0s 119us/step - loss: 6.3482e-05 - val_loss: 3.4956e-04\n",
      "Epoch 12/50\n",
      "904/904 [==============================] - 0s 130us/step - loss: 6.3595e-05 - val_loss: 3.4628e-04\n",
      "Epoch 13/50\n",
      "904/904 [==============================] - 0s 120us/step - loss: 6.3222e-05 - val_loss: 3.4833e-04\n",
      "Epoch 14/50\n",
      "904/904 [==============================] - 0s 119us/step - loss: 6.3354e-05 - val_loss: 3.4659e-04\n",
      "Epoch 15/50\n",
      "904/904 [==============================] - 0s 126us/step - loss: 6.3220e-05 - val_loss: 3.4529e-04\n",
      "Epoch 16/50\n",
      "904/904 [==============================] - 0s 129us/step - loss: 6.3167e-05 - val_loss: 3.4463e-04\n",
      "Epoch 17/50\n",
      "904/904 [==============================] - 0s 139us/step - loss: 6.3407e-05 - val_loss: 3.4390e-04\n",
      "Epoch 18/50\n",
      "904/904 [==============================] - 0s 137us/step - loss: 6.3127e-05 - val_loss: 3.4564e-04\n",
      "Epoch 19/50\n",
      "904/904 [==============================] - 0s 137us/step - loss: 6.3094e-05 - val_loss: 3.4675e-04\n",
      "Epoch 20/50\n",
      "904/904 [==============================] - 0s 143us/step - loss: 6.3180e-05 - val_loss: 3.5119e-04\n",
      "Epoch 21/50\n",
      "904/904 [==============================] - 0s 124us/step - loss: 6.3036e-05 - val_loss: 3.3972e-04\n",
      "Epoch 22/50\n",
      "904/904 [==============================] - 0s 124us/step - loss: 6.2979e-05 - val_loss: 3.4947e-04\n",
      "Epoch 23/50\n",
      "904/904 [==============================] - 0s 131us/step - loss: 6.3443e-05 - val_loss: 3.4822e-04\n",
      "Epoch 24/50\n",
      "904/904 [==============================] - 0s 118us/step - loss: 6.3133e-05 - val_loss: 3.4628e-04\n",
      "Epoch 25/50\n",
      "904/904 [==============================] - 0s 116us/step - loss: 6.2972e-05 - val_loss: 3.5504e-04\n",
      "Epoch 26/50\n",
      "904/904 [==============================] - 0s 112us/step - loss: 6.2937e-05 - val_loss: 3.3737e-04\n",
      "Epoch 27/50\n",
      "904/904 [==============================] - 0s 135us/step - loss: 6.2923e-05 - val_loss: 3.4685e-04\n",
      "Epoch 28/50\n",
      "904/904 [==============================] - 0s 125us/step - loss: 6.2875e-05 - val_loss: 3.4419e-04\n",
      "Epoch 29/50\n",
      "904/904 [==============================] - 0s 118us/step - loss: 6.3338e-05 - val_loss: 3.4578e-04\n",
      "Epoch 30/50\n",
      "904/904 [==============================] - 0s 121us/step - loss: 6.2726e-05 - val_loss: 3.5111e-04\n",
      "Epoch 31/50\n",
      "904/904 [==============================] - 0s 115us/step - loss: 6.2768e-05 - val_loss: 3.4134e-04\n",
      "Epoch 32/50\n",
      "904/904 [==============================] - 0s 134us/step - loss: 6.2942e-05 - val_loss: 3.4801e-04\n",
      "Epoch 33/50\n",
      "904/904 [==============================] - 0s 149us/step - loss: 6.2515e-05 - val_loss: 3.3888e-04\n",
      "Epoch 34/50\n",
      "904/904 [==============================] - 0s 134us/step - loss: 6.3079e-05 - val_loss: 3.4339e-04\n",
      "Epoch 35/50\n",
      "904/904 [==============================] - 0s 138us/step - loss: 6.2597e-05 - val_loss: 3.4012e-04\n",
      "Epoch 36/50\n",
      "904/904 [==============================] - 0s 127us/step - loss: 6.2562e-05 - val_loss: 3.4143e-04\n",
      "Epoch 37/50\n",
      "904/904 [==============================] - 0s 134us/step - loss: 6.2263e-05 - val_loss: 3.5524e-04\n",
      "Epoch 38/50\n",
      "904/904 [==============================] - 0s 134us/step - loss: 6.2632e-05 - val_loss: 3.3829e-04\n",
      "Epoch 39/50\n",
      "904/904 [==============================] - 0s 134us/step - loss: 6.2405e-05 - val_loss: 3.4075e-04\n",
      "Epoch 40/50\n",
      "904/904 [==============================] - 0s 137us/step - loss: 6.2301e-05 - val_loss: 3.4718e-04\n",
      "Epoch 41/50\n",
      "904/904 [==============================] - 0s 131us/step - loss: 6.1911e-05 - val_loss: 3.2772e-04\n",
      "Epoch 42/50\n",
      "904/904 [==============================] - 0s 140us/step - loss: 6.2615e-05 - val_loss: 3.3565e-04\n",
      "Epoch 43/50\n",
      "904/904 [==============================] - 0s 133us/step - loss: 6.3180e-05 - val_loss: 3.4180e-04\n",
      "Epoch 44/50\n",
      "904/904 [==============================] - 0s 123us/step - loss: 6.2319e-05 - val_loss: 3.4742e-04\n",
      "Epoch 45/50\n",
      "904/904 [==============================] - 0s 137us/step - loss: 6.2016e-05 - val_loss: 3.4174e-04\n",
      "Epoch 46/50\n",
      "904/904 [==============================] - 0s 116us/step - loss: 6.2301e-05 - val_loss: 3.3911e-04\n",
      "Epoch 47/50\n",
      "904/904 [==============================] - 0s 116us/step - loss: 6.1957e-05 - val_loss: 3.3940e-04\n",
      "Epoch 48/50\n",
      "904/904 [==============================] - 0s 120us/step - loss: 6.2144e-05 - val_loss: 3.4424e-04\n",
      "Epoch 49/50\n",
      "904/904 [==============================] - 0s 156us/step - loss: 6.1787e-05 - val_loss: 3.3571e-04\n",
      "Epoch 50/50\n",
      "904/904 [==============================] - 0s 117us/step - loss: 6.1765e-05 - val_loss: 3.3925e-04\n"
     ]
    }
   ],
   "source": [
    "#神经网络训练及结果\n",
    "'''\n",
    "如果直接加载模型，则不需要运行这一段训练\n",
    "'''\n",
    "model.fit(X_train, y_train, epochs =epoch, batch_size = batch_size,verbose=1,validation_split=0.1) #训练模型nb_epoch次\n",
    "model.save(save_model)#保存模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 517
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3275,
     "status": "ok",
     "timestamp": 1597492210096,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "cUXjfVlcagqF",
    "outputId": "fd1c1f7c-47af-48d1-d4d2-0c351a077745"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/RMSE/MAPE/涨跌准确率\n",
      "14.62384736473882\n",
      "18.91254666788781\n",
      "0.6356943127791739\n",
      "0.5577689243027888\n"
     ]
    }
   ],
   "source": [
    "#加载模型\n",
    "from keras.models import load_model\n",
    "model=load_model(save_model)  \n",
    "#模型进行检验\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "def up_down_accuracy(y_true, y_pred):\n",
    "    y_var_test=y_true[1:]-y_true[:len(y_true)-1]#实际涨跌\n",
    "    y_var_predict=y_pred[1:]-y_pred[:len(y_pred)-1]#原始涨跌\n",
    "    txt=np.zeros(len(y_var_test))\n",
    "    for i in range(len(y_var_test-1)):#计算数量\n",
    "        txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "    result=sum(txt)/len(txt)\n",
    "    return result\n",
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)[:,0]*scale#反归一化\n",
    "y_train=y_train*scale\n",
    "#展示在训练集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题\n",
    "plt.show()\n",
    "#输出结果\n",
    "print('训练集上的MAE/RMSE/MAPE/涨跌准确率')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(np.sqrt(mean_squared_error(y_train_predict, y_train)))\n",
    "print(mape(y_train_predict, y_train) )\n",
    "print(up_down_accuracy(y_train_predict,y_train))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 517
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 4583,
     "status": "ok",
     "timestamp": 1597492211410,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "ZLCDNDlFagqK",
    "outputId": "25e0b369-1121-488a-a247-e0e851eb0798"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "测试集上的MAE/RMSE/MAPE/涨跌准确率\n",
      "22.58125166933761\n",
      "22.91301712513301\n",
      "1.0092964500564967\n",
      "0.4827586206896552\n"
     ]
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)[:,0]*scale\n",
    "y_test=y_test*scale\n",
    "#展示在测试集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题\n",
    "plt.show()\n",
    "print('测试集上的MAE/RMSE/MAPE/涨跌准确率')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(np.sqrt(mean_squared_error(y_test_predict, y_test)))\n",
    "print(mape(y_test_predict,  y_test) )\n",
    "print(up_down_accuracy(y_test_predict,y_test))\n",
    "#储存文件\n",
    "(pd.DataFrame(y_test_predict)).to_csv(save_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 340
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 4578,
     "status": "ok",
     "timestamp": 1597492211411,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "K6TDQHnOagqM",
    "outputId": "e5183dc0-cdca-42c0-cdd0-bea874896e07"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#画完整图\n",
    "observed=np.hstack((y_train,y_test)) \n",
    "evaluated=y_train_predict\n",
    "predicted=y_test_predict\n",
    "observed_times=np.arange(len(y_train)+len(y_test))\n",
    "evaluated_times=np.arange(len(y_train))\n",
    "predicted_times=np.arange(len(y_train),len(y_train)+len(y_test))\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.axvline(len(y_train), linestyle=\"dotted\", linewidth=5, color='r')\n",
    "observed_lines = plt.plot(observed_times, observed, label=\"observation\", color=\"k\")\n",
    "evaluated_lines = plt.plot(evaluated_times, evaluated, label=\"evaluation\", color=\"g\")\n",
    "predicted_lines = plt.plot(predicted_times, predicted, label=\"prediction\", color=\"r\")\n",
    "\n",
    "plt.legend(handles=[observed_lines[0], evaluated_lines[0], predicted_lines[0]],\n",
    "         loc=\"upper left\")\n",
    "#为训练，验证，预测数据分别创建图例\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 4574,
     "status": "ok",
     "timestamp": 1597492211411,
     "user": {
      "displayName": "Expss Xu",
      "photoUrl": "",
      "userId": "17480852382145563764"
     },
     "user_tz": -480
    },
    "id": "wM5lSTplagqP"
   },
   "outputs": [],
   "source": [
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "colab": {
   "collapsed_sections": [],
   "name": "bp.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
